Engineering & Signals · Interdisciplinary & Society
Signal Processing
The newest papers in Signal Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
429 papers, from 31 August 2026 to 5 November 2026: 360 arXiv preprints and 69 OpenAlex records.
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Newest papers, page 13
TerMeZO: Ternary Sparse Zeroth-Order Optimization for Fine-tuning BitNet Models at the Edge
Fine-tuning anguage models (LLMs) with first-order optimizers requires a memory several times larger than that required for inference.Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer
Decoding signals over unknown channels with minimal pilot overhead is a critical challenge in next-generation communications.Concurrent Coded Signal-Multiplexing Ranging for Half-Duplex Asynchronous Networks
Signal-multiplexing network ranging (SM-NR) shares broadcasts across node pairs, but its sequential operation leads to a ranging cycle that grows linearly with network size.Neuron-Level Architecture Growth: A Controlled Evaluation for EEG Time-Series Decoding
Convolutional EEG decoders are trained at a fixed width, usually set by their authors on other data.EEG-Fusion: Failure-Informed Source-Free Expert Routing for Robust Motor Imagery EEG Decoding
Subject-independent motor-imagery (MI) EEG decoding can exhibit subject-level failures even when average performance appears acceptable: under subject shift, a decoder can become an overconfident…ThinkNet: Compact Architecture Selection and Validation-Gated Ensembles for Subject-Independent MI-EEG Decoding
Practical assistive and rehabilitative brain--computer interfaces require subject-independent motor-imagery EEG (MI-EEG) decoders that generalize to new users under limited target-user data and…Schur-Neural KF: Learned Schur-Consistent Corrections to the Extended Kalman Filter
We present Schur-Neural KF (SN-KF), a learning-based correction to the extended Kalman filter (EKF) that preserves the probabilistic conditioning interpretation of the EKF.Region-Local Copula Evidence Fusion for Heterogeneous Remote Sensing Change Detection
Superpixel copula models provide stable regional evidence for heterogeneous remote sensing change detection, but a single label per region limits localization within mixed superpixels.Benchmarking EEG Foundation Models at Scale: Lessons from 20,000 Evaluations
Electroencephalography (EEG) foundation models (FMs) promise transferable neural representations, yet their advantages over strong supervised baselines and their prospects for further scaling remain…Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning
Radiomap blind prediction aims to infer radiomaps from observable representations of the propagation environment and base station configuration without field measurements.TRACE: Learning to Self-Calibrate Wireless Digital Twins from ISAC Measurements
Wireless digital twins (DTs) rely on 3D environment models to predict radio propagation and support wireless-network decisions, yet these models are often initialized from imperfect 3D maps.EEG-Based Motor Imagery BCI Algorithms and Technologies: A Review
Brain-computer interfaces (BCIs) have emerged as transformative technologies that enable direct communication between the brain and external devices.Coordinated Electromagnetic Side-Channel Attacks for Voter--Ballot Linking: A Case Study of the Brazilian E-Polling System
In this work, we show how two adversaries (Eve and Mallory) can coordinate an electromagnetic side-channel attack to recon- struct the vote displayed on an e-voting machine (EVM) and link it to a…Threat-Aware Energy-Efficient Deployment for Dynamic UAV Networks: A Multi-Agent RL Approach
Ensuring operational safety in threat-prone environments remains a critical challenge for multi-UAV networks serving as aerial base stations.Adaptive Pilot Selection for Unified Semantic Communication and Semantic Sensing in ISAC
Semantic communication (SemCom) and integrated sensing and communication (ISAC) are promising technologies for future 6G wireless networks.Differential Attention Unlocks Complementary EEG and Speech Fusion for Emotion Recognition
Multimodal emotion recognition (MER) increasingly pairs EEG with speech, treating internal neural signals and external vocal expression as informative views of affect.AFA-Net: A Differential Attention Approach for Auditory Attention Detection
Auditory Attention Detection (AAD) utilizes electroencephalographic (EEG) signals to identify a target speaker in a multi-speaker environment.Online Learning via Learned Latent Bayesian Tracking
Online learning in non-stationary environments requires models to adapt rapidly from streaming data under strict computational constraints.Learned Compression of SAR Phase-History Data: A Rate-Honest Feasibility Study on GOTCHA
On-board compression of synthetic aperture radar (SAR) phase history is bandwidth-critical, and block-adaptive quantization (BAQ) remains the operational standard.Generation of 10-TW Attosecond X-Ray Pulses in a Free Electron Laser
Attosecond pulses provide direct access to electron dynamics in atoms, molecules, and solids on their natural timescales.